code: def test_infer_requirements_excludes_mlflow():
      with mock.patch(
          "mlflow.utils.requirements_utils._capture_imported_modules",
          return_value=["mlflow", "pytest"],
      ):
          mlflow_package = (
              "mlflow-skinny"
              if "MLFLOW_SKINNY" in os.environ
              else "mlflow"
          )
          assert (
              mlflow_package
              in importlib_metadata.packages_distributions()["mlflow"]
          )
          assert _infer_requirements("path/to/model", "sklearn") == [
              f"pytest=={pytest.__version__}"
          ]
  
imports: import importlib
  import os
  import sys
  from unittest import mock
  import importlib_metadata
  import pytest
  import mlflow
  import mlflow.utils.requirements_utils
  from mlflow.utils.environment import infer_pip_requirements
  from mlflow.utils.requirements_utils import _capture_imported_modules, _get_installed_version, _get_pinned_requirement, _infer_requirements, _is_comment, _is_empty, _is_requirements_file, _join_continued_lines, _normalize_package_name, _parse_requirements, _prune_packages, _PyPIPackageIndex, _strip_inline_comment, _strip_local_version_label
label_desc: Use image node_id 14 for calling a global function with example usage: test_infer_requirements_excludes_mlflow() without return types